An Algorithm to Generate an Optimally Human-Separable Symbol Set.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
Pagination or Media Count:
The purpose of this study was to develop an algorithm which could produce from a given symbol set a new symbol set that would be optimally separable by human subjects. A symbol change algorithm was developed based on the Fourier transform model of the human visual system and the inverse relationship between the number of human confusion errors that result from the basic shapes of symbols and the Euclidian distances between these symbols in the Fourier domain. The algorithm effectively changes the shape of certain symbols of a given symbol set by controlled manipulation of the symbol in the transform domain until a minimum, Euclidian distance threshold is achieved between the changed symbol and all other symbols in the set. A symbol set confusability number was also developed which can be used to evaluate different symbol sets with the lower number identifying the least confusable symbol set.
- Human Factors Engineering and Man Machine Systems